The proposed \(\text{HDCAM}\)  is trained and tested using the second \(\text{Ninapro}\)  dataset [1]} referred to as the DB2, which is the most commonly used sparse sEMG benchmark. In the DB2 dataset, muscle electrical activities are measured by the Delsys Trigno Wireless EMG system with 12 electrodes at a frequency rate of 2 kHz. The DB2 dataset consists of 50 different hand movements (including rest) recorded from 40 healthy users. Each gesture is repeated six times by each user, where each repetition lasts for 5 seconds, followed by 3 seconds of rest. For a fair comparison, as well as following the recommendations of the database [1]} and previous literature [3]}, [4]}, [5]}, [6]}, we considered two repetitions (i.e., 2 and 5) for testing and the rest for training. The DB2 dataset is presented in three sets of exercises (B, C, and D). Following [4]}, [5]}, [6]}, the focus is on Exercise B which consists of 17 hand movements.
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